China's Qianjue raises Series A extension, its 9th round for robot brains
What's the deal? Beijing Qianjue Technology has raised several hundred million yuan in a Series A extension, its ninth financing round since founding. Yuanhe Hope Capital, Xiaoguang Capital, Xinneng Venture Capital, Inno Angel FundDealroom has a profile for this one. Try Dealroom →, Jingming CapitalDealroom has a profile for this one. Try Dealroom →, Future Frontier Venture CapitalDealroom has a profile for this one. Try Dealroom →, and Maple Pledge CapitalDealroom has a profile for this one. Try Dealroom → joined the round.
What's the endgame? Qianjue builds "brains" for robots — the intelligence layer that lets machines operate in real environments. Founded in 2023 by Tsinghua PhD Gao Haichuan, it targets scenarios with existing demand such as catering, cleaning, and hotel service robots rather than general-purpose humanoids.
Why now? The quick re-raise underscores investor appetite for a company that leans commercial-first. Gao waited four years after spotting the opportunity in 2019, launching only once he judged robot intelligence had entered its "window of engineering and commercial implementation."
What's the contrarian bet? While rivals chased the idea of dropping ChatGPTDealroom has a profile for this one. Try Dealroom → into robots to solve everything, Qianjue took a different path built on a predictive world model. "There is no such thing as the 'ChatGPT moment' in the robotics industry," Gao said, arguing no single breakthrough will trigger an industry-wide inflection point.
How it works: The company runs two lines in parallel. Its R&D team follows the predictive world model built on a polynomial representation architecture, while its deployment team works with clients across hotels, retail, and home services to refine products in real use.
The signal: Qianjue's rapid financing cadence and services-first focus reflect a maturing embodied AI market where investors increasingly reward commercial traction over big-model hype. As Gao put it: "Clients don't care about your technical architecture or algorithm models, they only care whether this thing can help them tidy up the scattered slippers in hotel guest rooms."
Read more: eu.36kr.com
Image credit: Generated with Gemini
